Thesis Details

Vylepšení generování vzorů pro detekci škodlivého kódu

Bachelor's Thesis Student: Štěpánek Martin Academic Year: 2018/2019 Supervisor: Křivka Zbyněk, Ing., Ph.D.
English title
Improved Pattern Generation for Detection of Malicious Code
Language
Czech
Abstract

This thesis deals with an automatic pattern generation, that can be used for detection of malicious code. The aim of this thesis is to create a tool to help the analysts to detect malware. Approaches of malware detection used in Avast Software are reviewed. A tool called YaraGen, which was improved in this work, is presented. New analyses implemented for YaraGen are introduced. The main contribution of this thesis are behavioral analyses of a malicious code.

Keywords

YaraGen, YARA, pattern recognition, malware

Department
Department of Information Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
11 June 2019
Reviewer
Regéciová Dominika, Ing.
Committee
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), předseda
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Kořenek Jan, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Zendulka Jaroslav, doc. Ing., CSc. (DIFS FIT BUT), člen
Citation
ŠTĚPÁNEK, Martin. Vylepšení generování vzorů pro detekci škodlivého kódu. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-11. Supervised by Křivka Zbyněk. Available from: https://www.fit.vut.cz/study/thesis/21872/
BibTeX 
@bachelorsthesis{FITBT21872,
    author = "Martin \v{S}t\v{e}p\'{a}nek",
    type = "Bachelor's thesis",
    title = "Vylep\v{s}en\'{i} generov\'{a}n\'{i} vzor\r{u} pro detekci \v{s}kodliv\'{e}ho k\'{o}du",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/21872/"
}

Theses

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